Yuxiang WU | DeepAI

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∙ 05/22/2023

G3Detector: General GPT-Generated Text Detector

The burgeoning progress in the field of Large Language Models (LLMs) her...

0 Haolan Zhan, et al. ∙

∙ 02/27/2023

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition

Few-shot named entity recognition (NER) aims at identifying named entiti...

0 Guanting Dong, et al. ∙

∙ 02/27/2023

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations

In real dialogue scenarios, the existing slot filling model, which tends...

0 Daichi Guo, et al. ∙

∙ 10/30/2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks

Access to external knowledge is essential for many natural language proc...

0 Yuxiang WU, et al. ∙

∙ 04/15/2022

Towards Fine-grained Causal Reasoning and QA

Understanding causality is key to the success of NLP applications, espec...

9 Linyi Yang, et al. ∙

∙ 03/24/2022

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

Natural language processing models often exploit spurious correlations b...

0 Yuxiang WU, et al. ∙

∙ 09/22/2021

Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans

Advanced volumetric imaging methods and genetically encoded activity ind...

2 Yuxiang WU, et al. ∙

∙ 07/05/2021

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints

Adaptive Computation (AC) has been shown to be effective in improving th...

0 Yuxiang WU, et al. ∙

∙ 02/13/2021

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Open-domain Question Answering models which directly leverage question-a...

0 Patrick Lewis, et al. ∙

∙ 01/01/2021

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

We review the EfficientQA competition from NeurIPS 2020. The competition...

15 Sewon Min, et al. ∙

∙ 11/10/2020

Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

Most approaches to Open-Domain Question Answering consist of a light-wei...

1 Yuxiang WU, et al. ∙

∙ 05/10/2020

How Context Affects Language Models' Factual Predictions

When pre-trained on large unsupervised textual corpora, language models ...

0 Fabio Petroni, et al. ∙

∙ 09/03/2019

Language Models as Knowledge Bases?

Recent progress in pretraining language models on large textual corpora ...

0 Fabio Petroni, et al. ∙

∙ 04/30/2019

Segmentation is All You Need

We propose a new paradigm of the detection task that is anchor-box free ...

43 Yuxiang WU, et al. ∙

∙ 04/22/2019

FoxNet: A Multi-face Alignment Method

Multi-face alignment aims to identify geometry structures of multiple hu...

0 Yuxiang WU, et al. ∙

∙ 04/19/2018

Learning to Extract Coherent Summary via Deep Reinforcement Learning

Coherence plays a critical role in producing a high-quality summary from...

0 Yuxiang WU, et al. ∙

∙ 11/10/2017

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System

Task-oriented dialogue systems can efficiently serve a large number of c...

0 Weiyan Wang, et al. ∙

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